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The challenge

For an early stage company, forming the right team is critical to your future success. As a non-tech founder, it can be challenging to bring on technology leadership due to the difficulty vetting qualified individuals and the lack of resources needed to attract a full-time Chief Technology Officer (CTO). Finding the right technical cofounder can take months, even up to a year, during which time the progress on your product stalls. Our team of architects has extensive experience serving as CTOs and can bring high-level technology guidance into your company.

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Solutions

MVP
Services

  • CTO Matchmaking & Braintrust
  • Platform Agnostic
  • Rapid, Scalable Development (done right, the first time)
  • Metrics analysis, implementation, and KPI guidance

Interim
CTO

  • Fundraising Support
  • Fully-developed Technical Spec – System Architecture Diagram & Product Roadmap
  • Refactor and optimize existing codebase
  • Transparent & Trusted Process

Product Launch
& Acceleration

  • De-risked Delays and Reduced Overhead
  • Stabilize Production
  • Stress Test (DDOS Attacks, Materials Review)
  • Ux/Ui Review and Recommendations Based on Metrics

Technology
Hiring

  • Technology Hiring & Vetting
  • Team Configuration & Audits
  • Augment Existing Teams
  • Hiring Strategy

Related News & Events

Interview with SVSG Financial Services Practice Manager Carter Smyth

The following post is an interview with SVSG CTO and Financial Services Practice Manager Carter Smyth. Carter is an executive with over 25 years experience building technology teams to solve enterprise challenges in the financial services industry. He has extensive experience leading software development teams, business process reengineering, and global expansion projects. Carter joined SVSG in March 2017.

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The 200 billion dollar chatbot disruption (part two)

In the last post, we highlighted the disruption that chatbot technologies are poised to make in call centers. To recap, we are seeing the trend that Generation X and Y have now shown a preference for text-based communication over voice. This results in consumers increasingly wanting to talk with brands via messaging platforms like Whatsapp and Facebook Messenger. Simultaneously, there has been an explosion of conversational A.I. technology tools and frameworks in which natural language processing can be used to automate customer support inquiries. As the last installment discussed, this trend provides a compelling opportunity for companies to drastically reduce the costs of running their call centers.

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